The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-19"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "14507491 (up from 14292922 yesterday: 1.5 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "606173 (up from 602144 yesterday: 0.67 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 4361700

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.18



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 3773260 61847 1.67 1224264 140534 415 0.30 3.72
Brazil 2098389 23529 1.13 754246 79488 716 0.91 3.79
India 1118206 40425 3.75 569888 27497 681 2.54 2.46
Russia 770311 6096 0.80 136748 12323 95 0.78 1.60
South Africa 364328 13449 3.83 226194 5033 85 1.72 1.38
Peru 353590 4090 1.17 74171 13187 189 1.45 3.73
Mexico 344224 5311 1.57 127372 39184 296 0.76 11.38
Chile 330930 2084 0.63 58948 8503 58 0.69 2.57
United Kingdom 296358 726 0.25 -16282 45385 27 0.06 15.31
Iran 273788 2182 0.80 51119 14188 209 1.50 5.18
Pakistan 265083 1587 0.60 58571 5599 31 0.56 2.11
Spain 260255 0 0.00 11485 28420 0 0.00 10.92
Saudi Arabia 250920 2504 1.01 68427 2486 39 1.59 0.99
Italy 244434 218 0.09 4124 35045 3 0.01 14.34
Turkey 219641 924 0.42 22402 5491 16 0.29 2.50
France 211943 0 0.00 12467 30155 0 0.00 14.23
Bangladesh 204525 2459 1.22 66738 2618 37 1.43 1.28
Germany 202735 309 0.15 8042 9092 1 0.01 4.48
Colombia 197278 6578 3.45 105283 6736 220 3.38 3.41
Argentina 126755 4231 3.45 66822 2260 40 1.80 1.78
Canada 112168 293 0.26 6975 8896 4 0.04 7.93
Qatar 106648 340 0.32 12235 157 3 1.95 0.15
Iraq 92530 2310 2.56 47128 3781 90 2.44 4.09
Egypt 87775 603 0.69 22587 4302 51 1.20 4.90
Indonesia 86521 1639 1.93 32511 4143 127 3.16 4.79
China 85314 0 0.00 557 4644 0 0.00 5.44
Sweden 77281 0 0.00 12144 5619 0 0.00 7.27
Ecuador 74013 631 0.86 18758 5313 31 0.59 7.18
Kazakhstan 71838 3135 4.56 50511 375 0 0.00 0.52
Philippines 67456 2152 3.30 32001 1831 58 3.27 2.71
Oman 66661 1157 1.77 28511 318 10 3.25 0.48
Belarus 66095 142 0.22 4620 499 4 0.81 0.75
Belgium 63706 0 0.00 2411 9800 0 0.00 15.38
Ukraine 60077 744 1.25 16221 1504 8 0.53 2.50
Bolivia 59582 1444 2.48 28058 2151 45 2.14 3.61
Kuwait 59204 300 0.51 14262 408 1 0.25 0.69
United Arab Emirates 56922 211 0.37 9125 339 1 0.30 0.60
Panama 53468 1207 2.31 21782 1096 25 2.33 2.05
Dominican Republic 52855 1336 2.59 21482 981 10 1.03 1.86
Netherlands 51955 146 0.28 1600 6155 0 0.00 11.85
Israel 50289 924 1.87 26534 409 8 2.00 0.81
Portugal 48636 246 0.51 6990 1689 5 0.30 3.47
Singapore 47912 257 0.54 4453 27 0 0.00 0.06
Poland 40104 358 0.90 6197 1624 6 0.37 4.05
Guatemala 38677 635 1.67 21747 1485 36 2.48 3.84
Romania 37458 767 2.09 11145 2026 17 0.85 5.41
Nigeria 36663 556 1.54 12096 789 11 1.41 2.15
Bahrain 36422 418 1.16 10717 126 2 1.61 0.35
Afghanistan 35475 174 0.49 4508 1181 17 1.46 3.33
Armenia 34877 415 1.20 10232 641 10 1.58 1.84
Honduras 33835 1042 3.18 15753 900 9 1.01 2.66
Switzerland 33591 99 0.30 1974 1969 0 0.00 5.86
Ghana 27667 607 2.24 10925 148 3 2.07 0.53
Azerbaijan 27521 388 1.43 11097 354 5 1.43 1.29
Kyrgyzstan 27143 2537 10.31 22126 1037 137 15.22 3.82
Ireland 25760 10 0.04 321 1753 0 0.00 6.81
Japan 25446 500 2.00 7080 986 0 0.00 3.87
Algeria 23084 535 2.37 9811 1078 10 0.94 4.67
Moldova 20980 186 0.89 4730 684 4 0.59 3.26
Serbia 20894 396 1.93 6848 472 11 2.39 2.26
Austria 19655 82 0.42 2001 711 0 0.00 3.62
Nepal 17658 156 0.89 4886 40 0 0.00 0.23
Morocco 17236 221 1.30 5184 273 4 1.49 1.58
Uzbekistan 16752 566 3.50 8804 87 4 4.82 0.52
Cameroon 16157 0 0.00 3565 373 0 0.00 2.31
Cote d’Ivoire 14119 207 1.49 5018 92 1 1.10 0.65
Czechia 13945 90 0.65 2342 359 1 0.28 2.57
Korea, South 13771 26 0.19 1014 296 1 0.34 2.15
Denmark 13377 3 0.02 502 611 0 0.00 4.57
Kenya 13353 603 4.73 7283 234 9 4.00 1.75
Australia 12069 267 2.26 4305 123 1 0.82 1.02
Venezuela 11891 408 3.55 6594 112 2 1.82 0.94
El Salvador 11846 338 2.94 5912 335 11 3.40 2.83
Costa Rica 11114 563 5.34 7984 62 8 14.81 0.56
Sudan 10992 310 2.90 1735 693 20 2.97 6.30

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 406807 502 0.12 14268 32495 17 0.05 7.99 20911.70 1670.39 1 in 48
California 386906 6161 1.62 171610 7715 13 0.17 1.99 9792.06 195.26 1 in 102
Florida 350047 12478 3.70 208972 4982 87 1.78 1.42 16298.13 231.96 1 in 61
Texas 335257 8151 2.49 185105 4012 73 1.85 1.20 11562.23 138.36 1 in 86
New Jersey 176783 -31 -0.02 5601 15706 7 0.04 8.88 19903.09 1768.26 1 in 50
Illinois 162750 965 0.60 21027 7488 5 0.07 4.60 12843.46 590.92 1 in 78
Arizona 143624 2359 1.67 69704 2761 31 1.14 1.92 18860.93 362.58 1 in 53
Georgia 143129 3249 2.32 65919 3174 5 0.16 2.22 13480.58 298.94 1 in 74
Massachusetts 113534 296 0.26 4867 8431 12 0.14 7.43 16337.00 1213.18 1 in 61
Pennsylvania 105384 604 0.58 15521 7022 7 0.10 6.66 8231.85 548.51 1 in 121
North Carolina 99803 1711 1.74 37555 1652 4 0.24 1.66 9515.85 157.51 1 in 105
Louisiana 91706 3116 3.52 35470 3543 34 0.97 3.86 19726.84 762.13 1 in 51
Michigan 81868 530 0.65 11922 6366 2 0.03 7.78 8197.57 637.44 1 in 122
Maryland 78131 925 1.20 11354 3377 9 0.27 4.32 12923.44 558.58 1 in 77
Tennessee 78115 1779 2.33 37943 843 5 0.60 1.08 11431.73 123.37 1 in 87
Virginia 77430 1057 1.38 15694 2027 2 0.10 2.62 9071.50 237.48 1 in 110
Ohio 74932 1111 1.50 24623 3174 42 1.34 4.24 6410.42 271.54 1 in 156
South Carolina 69986 2374 3.51 36666 1155 20 1.76 1.65 13592.91 224.33 1 in 74
Alabama 67011 1777 2.72 31570 1287 1 0.08 1.92 13666.83 262.48 1 in 73
Indiana 56571 917 1.65 11641 2822 2 0.07 4.99 8403.02 419.18 1 in 119
Connecticut 47893 0 0.00 1590 4396 0 0.00 9.18 13433.14 1233.00 1 in 74
Washington 46946 920 2.00 15194 1447 3 0.21 3.08 6165.02 190.02 1 in 162
Minnesota 46204 734 1.61 10655 1581 3 0.19 3.42 8192.73 280.34 1 in 122
Mississippi 42638 792 1.89 16746 1355 9 0.67 3.18 14326.57 455.29 1 in 70
Wisconsin 42315 830 2.00 14572 844 1 0.12 1.99 7267.58 144.96 1 in 138
Colorado 40124 354 0.89 7834 1752 0 0.00 4.37 6967.50 304.23 1 in 144
Iowa 38813 500 1.31 10293 793 4 0.51 2.04 12301.79 251.34 1 in 81
Nevada 35765 1288 3.74 18605 647 1 0.15 1.81 11611.42 210.05 1 in 86
Utah 34117 785 2.36 13017 243 0 0.00 0.71 10641.75 75.80 1 in 94
Missouri 33521 817 2.50 12832 1136 0 0.00 3.39 5461.73 185.09 1 in 183
Arkansas 33228 695 2.14 13410 357 0 0.00 1.07 11010.58 118.30 1 in 91
Oklahoma 25266 209 0.83 12319 451 0 0.00 1.79 6385.19 113.98 1 in 157
Kentucky 23161 977 4.40 7929 670 3 0.45 2.89 5184.13 149.97 1 in 193
Nebraska 22583 102 0.45 3684 301 0 0.00 1.33 11674.37 155.60 1 in 86
Kansas 21996 303 1.40 8149 309 1 0.32 1.40 7550.16 106.06 1 in 132
Rhode Island 17793 0 0.00 1132 990 0 0.00 5.56 16795.97 934.53 1 in 60
New Mexico 16971 235 1.40 5162 571 2 0.35 3.36 8093.65 272.32 1 in 124
Idaho 14874 571 3.99 9552 119 0 0.00 0.80 8299.92 66.40 1 in 120
Oregon 14579 430 3.04 6238 260 3 1.17 1.78 3456.59 61.64 1 in 289
Delaware 13519 90 0.67 2293 523 0 0.00 3.87 13883.24 537.09 1 in 72
Puerto Rico 12063 610 5.33 4874 178 0 0.00 1.48 3777.13 55.73 1 in 265
District of Columbia 11261 67 0.60 1013 578 0 0.00 5.13 15956.10 818.99 1 in 63
South Dakota 7906 44 0.56 1225 118 2 1.72 1.49 8936.78 133.38 1 in 112
New Hampshire 6203 15 0.24 456 398 2 0.51 6.42 4562.00 292.71 1 in 219
North Dakota 5019 112 2.28 1524 92 2 2.22 1.83 6586.08 120.73 1 in 152
West Virginia 4990 96 1.96 2158 100 0 0.00 2.00 2792.16 55.96 1 in 358
Maine 3687 42 1.15 496 117 0 0.00 3.17 2742.87 87.04 1 in 365
Montana 2533 62 2.51 1670 37 0 0.00 1.46 2370.00 34.62 1 in 422
Wyoming 2126 18 0.85 709 25 1 4.17 1.18 3673.38 43.20 1 in 272
Alaska 1875 79 4.40 995 18 0 0.00 0.96 2563.07 24.61 1 in 390
Hawaii 1381 27 1.99 482 24 0 0.00 1.74 975.37 16.95 1 in 1025
Vermont 1350 12 0.90 148 56 0 0.00 4.15 2163.50 89.75 1 in 462

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 5115470 406807 7.95 1298985 14268 1.10 262958.03
2 California 6286852 386906 6.15 2330900 171610 7.36 159111.57
3 Florida 3002641 350047 11.66 1120744 208972 18.65 139802.48
4 Texas 2932364 335257 11.43 1157145 185105 16.00 101130.36
5 New Jersey 1791137 176783 9.87 403304 5601 1.39 201654.88
6 Illinois 2245686 162750 7.25 699655 21027 3.01 177218.89
7 Arizona 785979 143624 18.27 276083 69704 25.25 103216.03
8 Georgia 1255319 143129 11.40 448381 65919 14.70 118231.99
9 Massachusetts 1040535 113534 10.91 204741 4867 2.38 149727.97
10 Pennsylvania 1027379 105384 10.26 284397 15521 5.46 80251.51
11 North Carolina 1394864 99803 7.16 522959 37555 7.18 132995.12
12 Louisiana 1069304 91706 8.58 373193 35470 9.50 230017.51
13 Michigan 1484459 81868 5.52 467780 11922 2.55 148641.26
14 Maryland 739785 78131 10.56 220312 11354 5.15 122365.89
15 Tennessee 1197297 78115 6.52 448744 37943 8.46 175218.28
16 Virginia 907363 77430 8.53 279035 15694 5.62 106304.37
17 Ohio 1162914 74932 6.44 406149 24623 6.06 99487.04
18 South Carolina 577386 69986 12.12 217584 36666 16.85 112141.79
19 Alabama 585533 67011 11.44 199253 31570 15.84 119418.91
20 Indiana 626880 56571 9.02 156345 11641 7.45 93116.40
21 Connecticut 629969 47893 7.60 191346 1590 0.83 176695.17
22 Washington 791786 46946 5.93 265984 15194 5.71 103978.61
23 Minnesota 853188 46204 5.42 267771 10655 3.98 151284.34
24 Mississippi 378077 42638 11.28 97889 16746 17.11 127035.64
25 Wisconsin 776850 42315 5.45 224396 14572 6.49 133423.58
26 Colorado 435938 40124 9.20 122227 7834 6.41 75700.29
27 Iowa 415491 38813 9.34 119576 10293 8.61 131689.95
28 Nevada 389788 35765 9.18 122208 18605 15.22 126548.14
29 Utah 462822 34117 7.37 134373 13017 9.69 144363.09
30 Missouri 559079 33521 6.00 197906 12832 6.48 91093.37
31 Arkansas 419171 33228 7.93 127949 13410 10.48 138898.38
32 Oklahoma 475940 25266 5.31 149925 12319 8.22 120278.87
33 Kentucky 490201 23161 4.72 131710 7929 6.02 109721.77
34 Nebraska 232401 22583 9.72 59603 3684 6.18 120140.63
35 Kansas 249353 21996 8.82 81494 8149 10.00 85590.84
36 Rhode Island 179201 17793 9.93 -51307 1132 -2.21 169159.52
37 New Mexico 460664 16971 3.68 137705 5162 3.75 219695.55
38 Idaho 146186 14874 10.17 59841 9552 15.96 81574.05
39 Oregon 335590 14579 4.34 118199 6238 5.28 79566.36
40 Delaware 152995 13519 8.84 46649 2293 4.92 157117.12
42 District of Columbia 147765 11261 7.62 54633 1013 1.85 209373.30
43 South Dakota 98087 7906 8.06 19194 1225 6.38 110875.49
44 New Hampshire 143378 6203 4.33 27269 456 1.67 105447.41
45 North Dakota 133854 5019 3.75 29929 1524 5.09 175647.13
46 West Virginia 230988 4990 2.16 64480 2158 3.35 129249.58
47 Maine 137437 3687 2.68 43942 496 1.13 102243.54
48 Montana 133159 2533 1.90 50685 1670 3.29 124589.95
49 Wyoming 44053 2126 4.83 12230 709 5.80 76116.31
50 Alaska 173010 1875 1.08 64710 995 1.54 236499.46
51 Hawaii 104635 1381 1.32 29157 482 1.65 73901.45
52 Vermont 82500 1350 1.64 18635 148 0.79 132213.87

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 310455 0 0.00 169569 54.62 128730 11854 0 0.00 3.82
Tamil Nadu 175678 4985 2.92 121776 69.32 51351 2551 70 2.82 1.45
Delhi 123747 954 0.78 104918 84.78 15166 3663 35 0.96 2.96
Karnataka 63772 0 0.00 23066 36.17 39366 1336 0 0.00 2.09
Andhra Pradesh 53724 4074 8.21 24228 45.10 28800 696 54 8.41 1.30
Gujarat 49439 998 2.06 35659 72.13 11614 2166 20 0.93 4.38
Uttar Pradesh 49247 0 0.00 29845 60.60 18256 1146 0 0.00 2.33
Telangana 45076 0 0.00 32438 71.96 12223 415 0 0.00 0.92
West Bengal 42487 0 0.00 24883 58.57 16492 1112 0 0.00 2.62
Rajasthan 29835 401 1.36 21866 73.29 7406 563 4 0.72 1.89
Bihar 27455 1076 4.08 17535 63.87 9732 187 8 4.47 0.68
Haryana 26858 694 2.65 20226 75.31 6277 355 6 1.72 1.32
Assam 24000 1018 4.43 16024 66.77 7911 62 0 0.00 0.26
Madhya Pradesh 23310 710 3.14 15684 67.28 6888 738 17 2.36 3.17
Odisha 18110 673 3.86 12453 68.76 5532 125 6 5.04 0.69
Jammu and Kashmir 13899 0 0.00 7811 56.20 5844 244 0 0.00 1.76
Kerala 13279 798 6.39 5615 42.28 7616 44 1 2.33 0.33
Punjab 10510 410 4.06 7118 67.73 3130 262 8 3.15 2.49
Jharkhand 5599 200 3.70 2718 48.54 2832 49 1 2.08 0.88
Chhattisgarh 5425 18 0.33 3775 69.59 1626 24 0 0.00 0.44
Uttarakhand 4515 0 0.00 3116 69.01 1311 52 0 0.00 1.15
Goa 3657 0 0.00 2218 60.65 1417 22 0 0.00 0.60
Tripura 2891 0 0.00 1759 60.84 1113 5 0 0.00 0.17
Puducherry 2092 93 4.65 1265 60.47 798 29 1 3.57 1.39
Manipur 1925 14 0.73 1320 68.57 605 0 0 NaN 0.00
Himachal Pradesh 1561 40 2.63 1062 68.03 474 10 0 0.00 0.64
Ladakh 1195 17 1.44 1007 84.27 186 2 0 0.00 0.17
Nagaland 1021 33 3.34 445 43.58 576 0 0 NaN 0.00
Arunachal Pradesh 740 90 13.85 282 38.11 455 3 0 0.00 0.41
Chandigarh 739 22 3.07 518 70.09 209 12 0 0.00 1.62
Dadra and Nagar Haveli and Daman and Diu 711 21 3.04 465 65.40 234 2 0 0.00 0.28
Meghalaya 463 13 2.89 49 10.58 410 4 0 0.00 0.86
Sikkim 296 0 0.00 90 30.41 193 0 0 NaN 0.00
Mizoram 284 0 0.00 168 59.15 116 0 0 NaN 0.00
Andaman and Nicobar Islands 203 0 0.00 145 71.43 57 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1202207 95492 33 0.03 7.94 148 22 7240 16788 17.58
Piemonte 467185 31536 3 0.01 6.75 152 6 837 4119 13.06
Emilia-Romagna 576284 29178 51 0.18 5.06 81 8 1266 4274 14.65
Veneto 1117268 19607 48 0.25 1.75 33 2 567 2050 10.46
Toscana 390676 10374 16 0.15 2.66 12 0 325 1129 10.88
Liguria 171613 10093 23 0.23 5.88 27 0 204 1565 15.51
Lazio 387113 8436 17 0.20 2.18 180 9 872 851 10.09
Marche 155851 6811 0 0.00 4.37 2 1 150 987 14.49
P.A. Trento 140877 4885 1 0.02 3.47 0 0 16 405 8.29
Campania 312260 4827 9 0.19 1.55 34 0 294 433 8.97
Puglia 215649 4557 7 0.15 2.11 14 0 79 548 12.03
Friuli Venezia Giulia 226187 3352 2 0.06 1.48 7 0 96 345 10.29
Abruzzo 119504 3336 1 0.03 2.79 14 0 117 468 14.03
Sicilia 248851 3142 2 0.06 1.26 11 1 162 283 9.01
P.A. Bolzano 96130 2684 1 0.04 2.79 6 0 101 292 10.88
Umbria 111772 1456 0 0.00 1.30 6 0 12 80 5.49
Sardegna 98250 1379 1 0.07 1.40 7 0 12 134 9.72
Calabria 110485 1239 1 0.08 1.12 4 0 72 97 7.83
Valle d’Aosta 20190 1196 0 0.00 5.92 2 0 3 146 12.21
Molise 25677 446 0 0.00 1.74 1 0 8 23 5.16
Basilicata 44020 408 3 0.74 0.93 2 0 7 28 6.86

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 57466 166 0.29 5655 1 0.02 9.84 6730.87 662.36 1 in 149
Ontario 39434 118 0.30 2794 3 0.11 7.09 2680.43 189.92 1 in 373
Alberta 9219 0 0.00 167 0 0.00 1.81 2088.99 37.84 1 in 479
British Columbia 3198 0 0.00 189 0 0.00 5.91 625.72 36.98 1 in 1598
Nova Scotia 1067 0 0.00 63 0 0.00 5.90 1091.61 64.45 1 in 916
Saskatchewan 943 2 0.21 15 0 0.00 1.59 798.03 12.69 1 in 1253
Manitoba 343 6 1.78 7 0 0.00 2.04 249.00 5.08 1 in 4016
Newfoundland and Labrador 262 0 0.00 3 0 0.00 1.15 502.53 5.75 1 in 1990
New Brunswick 169 1 0.60 2 0 0.00 1.18 216.67 2.56 1 in 4615
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 13 0 0.00 0 0 NaN 0.00 316.47 0.00 1 in 3160
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 1655 10 0.60
Guangdong 1650 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 793 7 0.88
Shanghai 732 7 0.96
Jiangsu 654 0 0.00
Sichuan 599 3 0.50
Chongqing 583 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 249 1 0.40
Tianjin 203 3 1.48
Shanxi 201 0 0.00
Yunnan 188 2 1.06
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 164 2 1.22
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 77 3 3.90
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 11531.97 429.50 1 in 87
Brazil 10025.75 379.78 1 in 100
India 835.11 20.54 1 in 1197
Russia 5330.87 85.28 1 in 188
South Africa 6423.27 88.73 1 in 156
Peru 10991.30 409.92 1 in 91
Mexico 2664.27 303.28 1 in 375
Chile 18334.07 471.08 1 in 55
United Kingdom 4460.54 683.10 1 in 224
Iran 3373.44 174.82 1 in 296
Pakistan 1345.60 28.42 1 in 743
Spain 5577.69 609.09 1 in 179
Saudi Arabia 7617.49 75.47 1 in 131
Italy 4041.57 579.45 1 in 247
Turkey 2717.99 67.95 1 in 368
France 3163.80 450.14 1 in 316
Bangladesh NA NA 1 in NA
Germany 2448.79 109.82 1 in 408
Colombia 4020.34 137.27 1 in 249
Argentina 2863.23 51.05 1 in 349

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 221419 23400 10.57
Los Angeles California 155917 4096 2.63
Cook Illinois 98670 4776 4.84
Maricopa Arizona 95471 1473 1.54
Miami-Dade Florida 84238 1302 1.55
Harris Texas 55743 536 0.96
Nassau New York 42622 2193 5.15
Suffolk New York 42466 1994 4.70
Dallas Texas 40222 523 1.30
Broward Florida 39281 493 1.26
Westchester New York 35515 1440 4.05
Bexar Texas 30835 257 0.83
Clark Nevada 30432 527 1.73
Orange California 29426 494 1.68
Riverside California 28695 587 2.05
Philadelphia Pennsylvania 28196 1665 5.91
Palm Beach Florida 25785 679 2.63
Wayne Michigan 25136 2781 11.06
Middlesex Massachusetts 24886 1947 7.82
San Bernardino California 23772 328 1.38
Hillsborough Florida 23706 235 0.99
San Diego California 23682 478 2.02
Orange Florida 23259 120 0.52
Tarrant Texas 21617 298 1.38
Suffolk Massachusetts 20601 1035 5.02
Prince George’s Maryland 20589 723 3.51
Bergen New Jersey 19980 2033 10.18
Hudson New Jersey 19248 1498 7.78
Essex New Jersey 19105 2093 10.96
Travis Texas 17454 203 1.16
Mecklenburg North Carolina 17379 170 0.98
Passaic New Jersey 17162 1238 7.21
Middlesex New Jersey 17158 1397 8.14
Fairfield Connecticut 17069 1395 8.17
Essex Massachusetts 16733 1143 6.83
Duval Florida 16546 94 0.57
Salt Lake Utah 16523 136 0.82
Union New Jersey 16508 1344 8.14
Shelby Tennessee 16468 245 1.49
Montgomery Maryland 16372 768 4.69
Davidson Tennessee 16044 166 1.03
Milwaukee Wisconsin 15985 411 2.57
Fairfax Virginia 14878 508 3.41
Hennepin Minnesota 14734 802 5.44
Franklin Ohio 14001 467 3.34
Rockland New York 13793 672 4.87
Providence Rhode Island 13674 0 0.00
Pinellas Florida 13482 314 2.33
Pima Arizona 13449 382 2.84
Gwinnett Georgia 13444 198 1.47
Oakland Michigan 13398 1114 8.31
King Washington 13153 635 4.83
Fulton Georgia 13117 339 2.58
Worcester Massachusetts 12830 969 7.55
Marion Indiana 12750 706 5.54
New Haven Connecticut 12733 1090 8.56
Lee Florida 12711 232 1.83
Out of GA Georgia 12329 63 0.51
Hidalgo Texas 12263 284 2.32
Jefferson Louisiana 12254 500 4.08
Hartford Connecticut 12046 1403 11.65
El Paso Texas 11573 179 1.55
District of Columbia District of Columbia 11261 578 5.13
Orange New York 10931 484 4.43
Lake Illinois 10818 433 4.00
Cuyahoga Ohio 10553 421 3.99
DuPage Illinois 10196 497 4.87
Fresno California 9954 100 1.00
Ocean New Jersey 9947 1008 10.13
DeKalb Georgia 9732 188 1.93
Baltimore Maryland 9723 510 5.25
Norfolk Massachusetts 9699 967 9.97
Monmouth New Jersey 9659 848 8.78
Polk Florida 9524 174 1.83
Charleston South Carolina 9437 87 0.92
Baltimore City Maryland 9428 382 4.05
Yuma Arizona 9300 181 1.95
Orleans Louisiana 9265 545 5.88
Alameda California 9237 162 1.75
Montgomery Pennsylvania 9148 837 9.15
Yakima Washington 9125 195 2.14
St. Louis Missouri 8990 610 6.79
Plymouth Massachusetts 8889 695 7.82
Wake North Carolina 8768 89 1.02
Bristol Massachusetts 8681 609 7.02
Jefferson Alabama 8640 183 2.12
Douglas Nebraska 8610 110 1.28
Nueces Texas 8579 95 1.11
Imperial California 8531 161 1.89
Kern California 8447 105 1.24
Greenville South Carolina 8408 132 1.57
Denver Colorado 8371 398 4.75
Cobb Georgia 8370 264 3.15
East Baton Rouge Louisiana 8366 288 3.44
Kane Illinois 8361 289 3.46
Polk Iowa 8354 189 2.26
Macomb Michigan 8353 933 11.17
Prince William Virginia 8152 162 1.99
Erie New York 8035 657 8.18
Delaware Pennsylvania 7863 674 8.57

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc